Update app.py

app.py

@@ -33,7 +33,7 @@ def execute_text_recognition_tflite( boxes, frame, interpreter, input_details, o
     interpreter.set_tensor(input_details[0]['index'], test_image)
     interpreter.invoke()
     output_data = interpreter.get_tensor(output_details[0]['index'])
-    decoded = tf.keras.backend.ctc_decode(output_data,(24,),greedy=False)
+    decoded = tf.keras.backend.ctc_decode(output_data,(24,),greedy=True)
     text = ""
     for i in np.array(decoded[0][0][0]):
         if i >-1: